Weighted Residual Numerical Differentiation Algorithm Applied to Experimental Bending Moment Data
Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 136, Issue 6
Abstract
A weighted-residual approach for differentiating one-dimensional discrete data is presented and applied to an experimental program in which distributions of bending moment were measured along a model pile foundation in a centrifuge test. The weighted-residual approach is validated by first differentiating a sinusoidal bending moment distribution, and errors in first and second derivatives associated with various ratios of wavelength to sampling interval are computed. A bending moment distribution from a finite-element simulation of a pile foundation is differentiated using the weighted-residual technique, by fitting cubic splines, and by polynomial regression, and second derivatives are compared with the recorded subgrade reaction distributions. The influence of adding noise to the sampled bending moment distribution prior to differentiation is explored and is found to be most influential when sampling intervals are small. Bending moment data recorded during the centrifuge experiment are double differentiated and uncertainty in strain gauge calibration factors and position are incorporated using a Monte Carlo simulation to assess potential errors in the computed second derivatives.
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Acknowledgments
Funding for the centrifuge tests and numerical simulations was provided by Caltrans under Contract Nos. UNSPECIFIED59A0162 and UNSPECIFIED59A0392 and by the Pacific Earthquake Engineering Research (PEER) Center, through the Earthquake Engineering Research Centers Program of the National Science Foundation under Contract No. NSF2312001. The contents of this paper do not necessarily represent a policy of either agency or endorsement by the state or federal government. The centrifuge shaker was designed and constructed with support from the National Science Foundation (NSF), Obayashi Corp., Caltrans, and the University of California. Recent upgrades have been funded by NSF Grant No. NSFCMS-0086566 through the George E. Brown, Jr. Network for Earthquake Engineering Simulation (NEES). Center for Geotechnical Modeling staff Tom Coker, Tom Kohnke, Chad Justice, Nick Sinikas, Ray Gerhard, and Peter Rojas provided assistance with centrifuge modeling.
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© 2010 ASCE.
History
Received: Apr 1, 2008
Accepted: Sep 10, 2008
Published online: Feb 13, 2010
Published in print: Jun 2010
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